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Record W4393922831 · doi:10.5281/zenodo.10269710

Commodore C64C computer set

2020· dataset· en· W4393922831 on OpenAlexaboutno aff
mitkrakow

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2020
Typedataset
Languageen
FieldComputer Science
TopicEmbedded Systems Design Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsSet (abstract data type)Computer scienceComputer graphics (images)Programming language

Abstract

fetched live from OpenAlex

The Commodore C64 is one of the most popular designs in the history of computers, produced from 1982 until 1994. Its manufacturer – Commodore Business Machines – established in 1954 in Toronto (then moved to NY), was founded by Jack Tramiel (b. Trzmiel) – a Polish emigrant of Jewish descent, Holocaust survivor. In line with the standards of the 1980s, the computer was integrated with the keyboard and placed in the same housing. A TV set could be used as the monitor, and the basic medium for data was a special version of a cassette tape recorder. It was also possible to purchase an additional disk drive. The C64 stood out from the competition with its advanced sound capabilities thanks to the integrated circuit – SID. This option was wide-used by the authors of computer games and musicians. Nowadays, the C64 is used on the demo scene (a programming and computer subculture) for creating works that are styled on the 1980s. Commodore, USA/Hong Kong, 1984 Inv. No. MIM1649/VII-139 Licence: CC BY-NC-SA Source: Objaverse 1.0 / Sketchfab

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.195
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0030.000
Open science0.0080.007
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.038

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.057
GPT teacher head0.267
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicEmbedded Systems Design TechniquesFrench-language works237,207